Simplified stats a bit

stats/stats.go

@@ -2,19 +2,16 @@ package stats
 
 import (
 	"fmt"
-	"log"
 	"time"
 
-	"github.com/divan/graphx/graph"
 	"github.com/status-im/simulation/propagation"
 )
 
 // Stats represents stats data for given simulation log.
 type Stats struct {
-	NodeHits     map[string]int
+	NodeHits     map[int]int
 	NodeCoverage Coverage
 	LinkCoverage Coverage
-	Hist         *Histogram
 	Time         time.Duration
 }
 
@@ -25,62 +22,41 @@ func (s *Stats) PrintVerbose() {
 	fmt.Println("Time elapsed:", s.Time)
 	fmt.Println("Nodes coverage:", s.NodeCoverage)
 	fmt.Println("Links coverage:", s.LinkCoverage)
-	fmt.Println("Histogram:")
-	s.Hist.Print()
 }
 
 // Analyze analyzes given propagation log and returns filled Stats object.
-func Analyze(g *graph.Graph, plog *propagation.Log) *Stats {
+func Analyze(plog *propagation.Log, nodeCount, linkCount int) *Stats {
 	t := analyzeTiming(plog)
-	nodeHits, hist := analyzeNodeHits(g, plog)
-	nodeCoverage := analyzeNodeCoverage(g, nodeHits)
-	linkCoverage := analyzeLinkCoverage(g, plog)
+	nodeHits := analyzeNodeHits(plog)
+	nodeCoverage := analyzeNodeCoverage(nodeHits, nodeCount)
+	linkCoverage := analyzeLinkCoverage(plog, linkCount)
 
 	return &Stats{
 		NodeHits:     nodeHits,
 		NodeCoverage: nodeCoverage,
 		LinkCoverage: linkCoverage,
-		Hist:         hist,
 		Time:         t,
 	}
 }
 
-func analyzeNodeHits(g *graph.Graph, plog *propagation.Log) (map[string]int, *Histogram) {
-	nodeHits := make(map[string]int)
+func analyzeNodeHits(plog *propagation.Log) map[int]int {
+	nodeHits := make(map[int]int)
 
 	for _, nodes := range plog.Nodes {
 		for _, j := range nodes {
-			id, err := g.NodeIDByIdx(j)
-			if err != nil {
-				log.Fatal("Stats:", err)
-			}
-			nodeHits[id]++
+			nodeHits[j]++
 		}
 	}
 
-	hist := NewHistogram(HistogramOptions{
-		NumBuckets:   16,
-		GrowthFactor: 0.2,
-		MinValue:     1,
-	})
-	for key, v := range nodeHits {
-		fmt.Println("Node:", key, v)
-		err := hist.Add(int64(v))
-		if err != nil {
-			log.Println(err)
-		}
-	}
-
-	return nodeHits, hist
+	return nodeHits
 }
 
-func analyzeNodeCoverage(g *graph.Graph, nodeHits map[string]int) Coverage {
+func analyzeNodeCoverage(nodeHits map[int]int, total int) Coverage {
 	actual := len(nodeHits)
-	total := len(g.Nodes())
 	return NewCoverage(actual, total)
 }
 
-func analyzeLinkCoverage(g *graph.Graph, plog *propagation.Log) Coverage {
+func analyzeLinkCoverage(plog *propagation.Log, total int) Coverage {
 	linkHits := make(map[int]struct{})
 	for _, links := range plog.Indices {
 		for _, j := range links {
@@ -89,7 +65,6 @@ func analyzeLinkCoverage(g *graph.Graph, plog *propagation.Log) Coverage {
 	}
 
 	actual := len(linkHits)
-	total := len(g.Links())
 	return NewCoverage(actual, total)
 }
 

stats/stats_test.go

@@ -12,7 +12,7 @@ type node string
 
 func (n node) ID() string { return string(n) }
 
-func TestAnalyze(t *testing.T) {
+func testGraph() *graph.Graph {
 	g := graph.NewGraph()
 	g.AddNode(node("0"))
 	g.AddNode(node("1"))
@@ -23,6 +23,11 @@ func TestAnalyze(t *testing.T) {
 	g.AddLink("1", "2")
 	g.AddLink("2", "0")
 	g.AddLink("0", "3")
+	return g
+}
+
+func TestAnalyze(t *testing.T) {
+	g := testGraph()
 
 	// example propagation log
 	// three timestamps: 10, 20 and 30 ms
@@ -36,7 +41,7 @@ func TestAnalyze(t *testing.T) {
 		},
 	}
 
-	stats := Analyze(g, plog)
+	stats := Analyze(plog, len(g.Nodes()), len(g.Links()))
 
 	expected := []struct {
 		name string
@@ -48,11 +53,33 @@ func TestAnalyze(t *testing.T) {
 		{"3", 1},
 	}
 
-	for _, node := range expected {
-		got := stats.NodeHits[node.name]
+	for i, node := range expected {
+		got := stats.NodeHits[i]
 		if got != node.hits {
 			t.Fatalf("Expected node '%s' to be hit %d times, but got %d", node.name, node.hits, got)
 		}
 
 	}
 }
+
+func BenchmarkAnalyze(b *testing.B) {
+	g := testGraph()
+
+	// example propagation log
+	// three timestamps: 10, 20 and 30 ms
+	// with first node hit 1 time, second and third - 3 times
+	plog := &propagation.Log{
+		Timestamps: []int{10, 20, 30},
+		Nodes: [][]int{
+			[]int{0, 1, 2},
+			[]int{1, 2},
+			[]int{2, 1, 3},
+		},
+	}
+
+	nodeCount := len(g.Nodes())
+	linksCount := len(g.Links())
+	for i := 0; i < b.N; i++ {
+		Analyze(plog, nodeCount, linksCount)
+	}
+}